
51 - 200 employees
☁️ SaaS
💰 Venture Round on 2022-02
Analytics • Consulting • SaaS
Arkatechture is a company specializing in data analytics services. They offer a comprehensive suite of analytics solutions, including Arkalytics, a SaaS data warehouse platform designed for rapid deployment. Arkatechture partners with businesses to develop and execute their data strategy, providing services such as data management, business intelligence, predictive analytics, and Tableau consulting. Serving industries like credit unions and community banks, Arkatechture focuses on improving data-driven decision-making and enhancing ROI through customized dashboards, reports, and predictive models. Their team of experts provides managed services and professional consulting to support organizations in building and maintaining effective data analytics ecosystems.
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51 - 200 employees
☁️ SaaS
💰 Venture Round on 2022-02
Analytics • Consulting • SaaS
Arkatechture is a company specializing in data analytics services. They offer a comprehensive suite of analytics solutions, including Arkalytics, a SaaS data warehouse platform designed for rapid deployment. Arkatechture partners with businesses to develop and execute their data strategy, providing services such as data management, business intelligence, predictive analytics, and Tableau consulting. Serving industries like credit unions and community banks, Arkatechture focuses on improving data-driven decision-making and enhancing ROI through customized dashboards, reports, and predictive models. Their team of experts provides managed services and professional consulting to support organizations in building and maintaining effective data analytics ecosystems.
• Lead and support the Data and Analytics Support Desk function, providing both technical leadership and day-to-day guidance to analysts and team members • Act as a player-coach, maintaining hands-on involvement in complex support cases while mentoring and developing the team • Serve as a senior escalation point for advanced SQL, ETL/ELT, data warehouse, and BI-related issues • Drive high-quality resolution of complex data platform issues, ensuring strong technical standards across all work • Coach and mentor team members to deepen technical expertise, improve troubleshooting approaches, and grow professionally • Own prioritization and triage of high-impact incidents, ensuring efficient routing and resolution • Drive SLA adherence while maintaining a high bar for technical accuracy and quality • Conduct root cause analysis (RCA) on recurring data defects and partner with Engineering and Product on structural improvements • Ensure clear, proactive, and technically sound communication with clients throughout issue resolution • Partner cross-functionally with Engineering, Product, and Customer Success to address systemic platform issues • Identify trends, risks, and opportunities to improve platform performance, reliability, and scalability. Partner with the Head of Support Services to implement structural improvements and elevate service quality. • Contribute to documentation, best practices, and knowledge sharing to reduce recurring issues • Support operational tooling (PagerDuty, Jira, etc.) to ensure effective incident management and reporting • Participate in hiring, onboarding, workforce planning, and performance management. • Additional responsibilities as assigned.
• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field. • 8-10+ years of experience in data, analytics, or BI platform environments • Experience leading or mentoring technical teams within data or analytics functions • Strong customer-facing experience with the ability to communicate technical concepts clearly • Advanced SQL expertise (complex joins, CTEs, query optimization, performance tuning) • Hands-on experience debugging ETL/ELT pipelines using SQL and/or Python • Experience with modern cloud data warehouses (Snowflake preferred; Databricks, Redshift acceptable) • Experience working within AWS environments • Experience with dbt • Strong analytical thinking and structured problem-solving approach in complex data environments • Ability to balance people leadership with hands-on technical ownership • Comfortable challenging architectural decisions and driving continuous platform improvement • Experience conducting root cause analysis (RCA) on data defects and partnering with engineering teams to implement structural fixes. • Demonstrated relationship skills. Works seamlessly externally (customers) and internally (Technical and customer success teams) • Incident management experience for SLA driven environments • Experience in SaaS or managed services models • **Preferred Experience ** • AWS certifications (Cloud Practitioner, Developer, or Solutions Architect) • SnowPro Core Certification • Experience supporting fintech or financial services data environments • Familiarity with tools such as Jira, PagerDuty, Slack, and Confluence • Experience working with or supporting distributed teams (US and India)
• A flexible remote work policy with optional access to our Portland, Maine office • A 4-day workweek after 3 years of service • Generous paid time off, including 11 holidays • Medical, disability, life insurance, and optional dental/vision • 401(k) retirement plan with company match • Training & certification reimbursement • Milestone recognition programs, annual PTO increases, and more
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